Title: CFRF bottom temperatures

Summary:
This is a collection of bottom temperature time series on the NE Continental Shelf collected by the Commerical Fisheries Research Foundation fishers beginning in 2014. As of 2021, approximately 20 captains have been involved.

cdm_data_type = Point
VARIABLES:
line_num
time (UTC Date, seconds since 1970-01-01T00:00:00Z)
vessel
latitude (Degrees Latitude, degrees_north)
longitude (Degrees Longitude, degrees_east)
session_id
serial_num
sea_water_temperature (degree_C)
yday
depth (m)

Institution: NOAA/NMFS/NEFSC


Title: Drifter Tracks from the NE US Shelf and beyond

Summary:
This is a collection of drifter tracks collected by various organizations covering the US Northeast shelf and beyond.

cdm_data_type = Trajectory
VARIABLES:
id
time (UTC Date, seconds since 1970-01-01T00:00:00Z)
latitude (Degrees Latitude, degrees_north)
longitude (Degrees Longitude, degrees_east)
depth (m)
sea_water_temperature (degree_C)

Dataset ID: drifters


Title: eMOLT data

Summary:
QC/QA APPLIED. ONLY FLAGGED DATA AS 1

cdm_data_type = Point
VARIABLES:
tow_id (Unique Fishing Operation Identifier)
segment_type (Fishing Stage When Data is Collected)
time (Datetime, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
temperature (degree_C)
sensor_type
model (Sensor model)

Institution: Environmental Monitors on Lobster Traps and Large Trawlers


Title: Environmental Monitors on Lobster Traps non-realtime

Summary:
This is a collection of hourly bottom temperatures (~0.2 degC accuracy) from lobster traps at dozens of fixed locations off the Northeast US beginning in 2001.

cdm_data_type = Point
VARIABLES:
time (UTC Date, seconds since 1970-01-01T00:00:00Z)
latitude (Degrees Latitude, degrees_north)
longitude (Degrees Longitude, degrees_east)
depth (m)
sea_water_temperature (degree_C)


Title: Ocean Color, ESA CCI Ocean Colour Products (v6.0), Global 0.0417°, 8-Day, 1997-present

Summary:
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
Rrs_490_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
Rrs_490_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
... (84 more variables)

Institution: Plymouth Marine Laboratory


Title: Ocean Color, ESA CCI Ocean Colour Products (v6.0), Global 0.0417°, Daily, 1997-present

Summary:
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)
MODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)
OLCI_A_nobs (Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell)
OLCI_B_nobs (Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell)
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
... (84 more variables)


Title: Ocean Color, ESA CCI Ocean Colour Products (v6.0), Global 0.0417°, Monthly, 1997-present

Summary:
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
Rrs_490_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
Rrs_490_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
... (84 more variables)


Title: Sea Surface Tempearture Long-term Mean, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1) Daily (sst.day.mean.ltm.1971-2000), Global 0.25°, Daily 1971-2000

Summary:
NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Daily Long Term Mean Sea Surface Temperature, degree_C)

Institution: NOAA/NCDC


Title: Sea Surface Tempearture Long-term Mean, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1) Daily (sst.day.mean.ltm.1982-2010), Global 0.25°, Daily 1982-2010

Summary:
NOAA High-resolution Blended Analysis: Daily Values using Advanced Very High Resolution Radiometer (AVHRR) only. Reynolds, et al., 2007: Daily High-Resolution-Blended Analyses for Sea Surface Temperature. J. Climate, 20, 5473-5496.  Climatology is based on 1971-2000 Optimum Interpolation (OI).v2 SST, Satellite data: Navy NOAA17 NOAA18 AVHRR, Ice data: National Centers for Environmental Prediction (NCEP) ice.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Daily Long Term Mean Sea Surface Temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


Title: Sea Surface Tempearture Long-term Mean, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1) Daily (sst.day.mean.ltm.1991-2020), Global 0.25°, Daily 1991-2020


Title: Sea Surface Tempearture Long-term Mean, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1) Monthly (sst.mon.mean.ltm.1991-2020), Global 0.25°, Monthly 1991-2020

Summary:
NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H.-M. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1 (available at https://doi.org/10.1175/Journal of Climate (JCLI)-D-20-0166.1). Anomaly is based on 1971-2000 OI.v2 SST. Satellite data: multi-satellite sensor (Advanced Very High Resolution Radiometer (AVHRR)+Visible and Infrared Imager/Radiometer Suite (VIIRS)) data. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Long Term Mean Monthly Mean of Sea Surface Temperature, degree_C)
valid_yr_count (count of non-missing values used in mean)


Title: Sea Surface Tempearture, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1), Global 0.25°, Monthly 1981-present

Summary:
NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H.-M. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1 (available at https://doi.org/10.1175/Journal of Climate (JCLI)-D-20-0166.1). Anomaly is based on 1971-2000 OI.v2 SST. Satellite data: multi-satellite sensor (Advanced Very High Resolution Radiometer (AVHRR)+Visible and Infrared Imager/Radiometer Suite (VIIRS)) data. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Monthly Mean of Sea Surface Temperature, degree_C)


Title: Sea Surface Tempearture, NOAA/NCEI Optimum Interpolation SST (OISST) AVHRR-only Analysis (V2.1), Global 0.25°, Weekly 1981-presentt

Summary:
NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H.-M. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1 (available at https://doi.org/10.1175/Journal of Climate (JCLI)-D-20-0166.1). Anomaly is based on 1971-2000 OI.v2 SST. Satellite data: multi-satellite sensor (Advanced Very High Resolution Radiometer (AVHRR)+Visible and Infrared Imager/Radiometer Suite (VIIRS)) data. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Weekly Mean of Sea Surface Temperature, degree_C)


Title: Sea Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2000-present, Daily

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)
sses_bias (SSES bias estimate, degree_C)
sses_standard_deviation (degree_C)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)

Institution: NOAA/NESDIS/STAR


Title: Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, 2023-present, Daily


Title: Trawler-collected bottom temperatures from the Northeast US Shelf

Summary:
These are ~one mile binned-averaged hourly ocean bottom temperatures obtained with thermistors attached to commercial fishing trawls. The Vemco Minilog instrument used in most cases is accurate to 0.2 degC. Since is not reporting fast enough (90 seconds) to resolve the vertical structure, only the bottom values are reported here.

cdm_data_type = Point
VARIABLES:
time (UTC Date, seconds since 1970-01-01T00:00:00Z)
latitude (Degrees Latitude, degrees_north)
longitude (Degrees Longitude, degrees_east)
number_of_obs
temperature (Sea Water Temperature, degree_C)
min_temperature (Sea Water Temperature, degree_C)
max_temperature (Sea Water Temperature, degree_C)
number_of_depth_obs
depth (m)
min_depth (meters)
max_depth (meters)
stddev_depth (meters)


Title: Turtle-collected water column temperatures from the NE US Shelf

Summary:
These include approximately 10 points with each loggerhead turtle  dive.

cdm_data_type = Point
VARIABLES:
count
time (seconds since 1970-01-01T00:00:00Z)
latitude (Degrees Latitude, degrees_north)
longitude (Degrees Longitude, degrees_east)
temperature (Sea Water Temperature, degree_C)
depth (m)